Hankel-Norm Approach to Robust FIR Estimation of Dynamic Systems Under External Disturbances

Choon Ki Ahn, Yuriy Shmaliy, Shunyi Zhao

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


We propose and develop a new Hankel-norm approach to the robust receding horizon (RH) finite impulse response (FIR) filter design in discrete-time state space under intensive external disturbances. A new condition is developed for the RH Hankel-norm FIR filter (HNFF) design based on the linear matrix inequality and an equality constraint. The proposed RH HNFF ensures unwanted memory reduction and reduces the effect of memory on errors caused by past disturbances. Another condition is also examined to avoid using the equality constraint. The approach is tested and compared with existing filters based on a numerical example to verify its high robustness against unpredictable model changes for an F-404 turbofan engine system model. An experimental study on the one-degree-of-freedom (1-DOF) torsion system is also provided to demonstrate its validity.

Original languageEnglish
JournalIEEE/ASME Transactions on Mechatronics
Publication statusAccepted/In press - 2018 Jul 3


  • deadbeat property
  • Engines
  • Estimation
  • filtering
  • finite impulse response
  • Finite impulse response filters
  • Hankel norm
  • IEEE transactions
  • Linear matrix inequalities
  • Mechatronics
  • receding horizon
  • Robustness
  • robustness

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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